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Fractal and spectroscopic analysis of soot from internal combustion engines

机译:内燃机烟灰分形和光谱分析

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Today diesel engines are used worldwide for various applications and very importantly in transportation. Hydrocarbons are the most widespread precursors among carbon sources employed in the production of carbon nanotubes (CNTs). The aging of internal combustion engine is an important parameter in deciding the carbon emission and particulate matter due to incomplete combustion of fuel. In the present work, an attempt has been made for the effective utilization of the aged engines for potential applications in fuel cells and nanoelectronics. To analyze the impact of aging, the particulate matter rich in carbon content is collected from diesel engines of different ages. The soot with CNTs is purified by the liquid phase oxidation method and analyzed by Field Emission Scanning Electron Microscopy, High-Resolution Transmission Electron Microscopy, Energy Dispersive Spectroscopy, UV-Visible spectroscopy, Raman spectroscopy and Thermogravimetric analysis. The SEM image contains self-similar patterns probing fractal analysis. The fractal dimensions of the samples are determined by the box counting method. We could find a greater amount of single-walled carbon nanotubes (SWCNTs) in the particulate matter emitted by aged diesel engines and thereby giving information about the combustion efficiency of the engine. The SWCNT rich sample finds a wide range of applications in nanoelectronics and thereby pointing a potential use of these aged engines.
机译:如今,柴油发动机在全球范围内用于各种应用,并且非常重要地在运输中。烃是在生产碳纳米管(CNT)中使用的碳源中最广泛的前体。内燃机的老化是由于燃料不完全燃烧而决定碳排放和颗粒物质的重要参数。在本作本作中,已经尝试用于有效利用老化发动机用于燃料电池和纳米电子中的潜在应用。为了分析老化的影响,从不同年龄柴油发动机收集富含碳含量的颗粒物质。通过液相氧化方法纯化具有CNT的烟灰,并通过现场发射扫描电子显微镜,高分辨率透射电子显微镜,能量分散光谱,UV可见光谱,拉曼光谱和热重分析分析。 SEM图像包含自相似模式探测分形分析。样品的分形尺寸由盒子计数方法确定。我们可以在老化柴油发动机发射的颗粒物中找到更大量的单壁碳纳米管(SWCNTS),从而提供有关发动机的燃烧效率的信息。 SWCNT丰富的样品在纳米电子中找到了广泛的应用,从而指导了这些老化发动机的潜在使用。

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